Senior Data Analyst

Location: Remote, Canada

Employment Type: Full-Time

Experience: 5+ years

About the Role

We are seeking a highly skilled, business-oriented Senior Data Analyst who can bridge the gap between complex data and strategic business decisions.

The ideal candidate combines strong technical expertise in SQL, Python, and contemporary Data Warehousing / Business Intelligence platforms (such as Domo, Snowflake, Power BI, or similar solutions) with a solid understanding of Finance and Sales analytics.

Beyond developing dashboards and analyzing data, this individual must identify business trends, uncover actionable insights, and confidently communicate findings to senior executives and business leaders.

Key Responsibilities

Business Analytics & Strategic Insights

- Analyze financial, sales, and operational data to identify trends, performance gaps, risks, and growth opportunities.
- Develop actionable insights related to revenue, profitability, margins, sales performance, customer behaviour, and business efficiency.
- Partner with Finance, Sales, and Operations leaders to understand business challenges and translate them into analytical solutions.
- Conduct variance analysis, forecasting support, and root-cause investigations.
- Proactively recommend opportunities to improve business performance.

Data Visualization & Business Intelligence
- Design, develop, and maintain executive dashboards, scorecards, and reports using Domo, Power BI, Tableau, or comparable BI platforms.
- Work with enterprise data warehouses and analytics platforms such as Snowflake, Databricks, or similar solutions.
- Develop and optimize datasets, data transformations, analytical models, and reporting workflows.
- Translate complex datasets into intuitive visualizations that communicate business KPIs.
- Establish consistent KPI definitions and ensure reporting accuracy, reliability, and scalability.

Data Analysis & Technical Development
- Write advanced SQL queries to extract, transform, validate,



and analyze data from multiple sources.
- Use Python for data manipulation, automation, statistical analysis, and exploratory analytics.
- Integrate and reconcile data across financial, CRM, ERP, and other enterprise systems.
- Develop reusable analytical models and automate recurring reporting processes.
- Investigate data quality issues and collaborate with technical teams to resolve them.

Executive Communication & Stakeholder Engagement
- Present analytical findings and recommendations to senior Finance, Sales, and business leaders.
- Translate technical findings into concise business narratives focused on implications and recommended actions.
- Lead stakeholder discussions to define business questions, KPIs, and analytical priorities.
- Explain business performance drivers, challenge assumptions, and support evidence-based decision-making.
- Act as a trusted analytical partner rather than solely a dashboard developer.

Required Qualifications

- 5+ years of experience in Data Analytics, Business Intelligence, Financial Analytics, or related fields.
- Strong hands-on experience with Domo or comparable Data Warehousing / BI solutions, such as Power BI, Tableau, Snowflake, or Databricks.
- Advanced SQL proficiency, including complex joins, CTEs, window functions, and query optimization.
- Strong Python skills, particularly Pandas, NumPy, data transformation, and analytics automation.
- Experience working with large datasets and integrating data from multiple enterprise systems.
- Demonstrated experience analyzing Finance and Sales performance.
- Solid understanding of financial and commercial KPIs, including revenue, gross margin, profitability,



budget vs. actuals, forecasting, and sales performance.
- Proven ability to communicate analytical findings to nontechnical stakeholders and senior executives.
- Strong analytical reasoning, problem-solving, and stakeholder management skills.
- Ability to work independently in a remote environment.

Preferred Qualifications

- Direct experience with Domo, including Magic ETL, Beast Mode, dashboards, and dataflows.
- Experience supporting FP&A;, commercial finance, revenue operations, or sales leadership.
- Familiarity with ERP and CRM systems such as Salesforce, NetSuite, SAP, or Microsoft Dynamics.
- Knowledge of statistical analysis, predictive modelling, and forecasting techniques.
- Experience working in consulting or cross-functional business environments.
- Bachelor's degree in Data Analytics, Computer Science, Finance, Statistics, Economics, or a related discipline.

What Success Looks Like

Within the first 3–6 months, the successful candidate will:
- Independently develop and enhance BI dashboards supporting Finance and Sales leadership.
- Deliver reliable analysis explaining what happened, why it happened, and what business leaders should do next.
- Identify improvement opportunities through revenue, profitability, and sales performance analysis.
- Build trusted relationships with senior business stakeholders.
- Improve reporting efficiency, data accuracy, and analytical decision-making.

Work Arrangement

- Full-time, remote position based in Canada.
- Collaboration with cross-functional business and technical teams.
- Must be legally authorized to work in Canada.

Ideal Candidate Profile The ideal candidate is equally comfortable writing advanced SQL queries, analyzing data with Python, developing executive dashboards, and explaining financial and sales insights to a CFO or Head of Sales.

We value business acumen, analytical curiosity, and communication skills as highly as technical proficiency.

📌 Senior Data Analyst (Canada)
🏢 Gravitas
📍 Canada